Information and Diagnostics Systems

Fusion of UAV Photogrammetry and Deep Learning for Diagnostics of Large-Scale Structures

Dmytro Stelmakh, Oleksii Shutkevych, Oleksii Khramkov

E.O. Paton Electric Welding Institute of NAS of Ukraine

https://doi.org/10.15407/msse2025.01.288

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Keywords

UAV, photogrammetry, deep learning, structural diagnostics, non-destructive testing

Abstract

The paper presents an integrated UAV-based approach for diagnostics of large-scale structures using photogrammetric 3D modeling and deep neural networks. The method enables safe, accurate, and fast defect detection, as proven by inspections of critical infrastructure damaged during military aggression. Real-case examples include 3D models and automated damage detection results, demonstrating the system’s practical value.

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